Finishing a Development Branch
obra/superpowers
Walks the last step of a branch: confirm tests pass, detect the git environment, ask how to integrate, carry out your choice and clean up the worktree.
Analyze a completed Meticulous test run — compare the diffs against the PR description to see what's expected, then focus on finding and flagging potential regressions.
$ npx skills add FlintSH/Flare --skill meticulous-review -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install FlintSH/Flare meticulous-review --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/FlintSH/Flare.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/meticulous-review .claude/skills/meticulous-review && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "meticulous-review" agent skill from https://github.com/FlintSH/Flare/tree/main/.agents/skills/meticulous-review into .claude/skills/meticulous-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meticulous-review", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/FlintSH/Flare/tree/main/.agents/skills/meticulous-reviewType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add FlintSH/Flare --skill meticulous-review -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install FlintSH/Flare meticulous-review --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/FlintSH/Flare.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/meticulous-review .agents/skills/meticulous-review && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "meticulous-review" agent skill from https://github.com/FlintSH/Flare/tree/main/.agents/skills/meticulous-review into .agents/skills/meticulous-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meticulous-review", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add FlintSH/Flare --skill meticulous-review -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install FlintSH/Flare meticulous-review --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/FlintSH/Flare.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/meticulous-review .cursor/skills/meticulous-review && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "meticulous-review" agent skill from https://github.com/FlintSH/Flare/tree/main/.agents/skills/meticulous-review into .cursor/skills/meticulous-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meticulous-review", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/FlintSH/Flare.git --path .agents/skills/meticulous-review--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add FlintSH/Flare --skill meticulous-review -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install FlintSH/Flare meticulous-review --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/FlintSH/Flare.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/meticulous-review .gemini/skills/meticulous-review && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "meticulous-review" agent skill from https://github.com/FlintSH/Flare/tree/main/.agents/skills/meticulous-review into .gemini/skills/meticulous-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meticulous-review", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install FlintSH/Flare meticulous-reviewInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add FlintSH/Flare --skill meticulous-review -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/FlintSH/Flare.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/meticulous-review .github/skills/meticulous-review && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "meticulous-review" agent skill from https://github.com/FlintSH/Flare/tree/main/.agents/skills/meticulous-review into .github/skills/meticulous-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meticulous-review", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add FlintSH/Flare --skill meticulous-review -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install FlintSH/Flare meticulous-review --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/FlintSH/Flare.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/meticulous-review .opencode/skills/meticulous-review && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "meticulous-review" agent skill from https://github.com/FlintSH/Flare/tree/main/.agents/skills/meticulous-review into .opencode/skills/meticulous-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "meticulous-review", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
meticulous-reviewAnalyze a completed Meticulous test run — compare the diffs against the PR description to see what's expected, then focus on finding and flagging potential regressions.
Meticulous Review is an agent skill from FlintSH/Flare. Analyze a completed Meticulous test run — compare the diffs against the PR description to see what's expected, then focus on finding and flagging potential regressions. Resolves the test run from the local repo's current commit (the default), or from an explicit test-run ID or commit SHA. Use when asked to review Meticulous test results, when babysitting a pull/merge request's Meticulous Tests CI check, or right after implementing a frontend change yourself.
Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Development, covering Pull requests. The repository describes itself as: A modern, lightning-fast file sharing platform built for self-hosting. Created with support for ShareX, KDE Spectacle, Flameshot, and easy to set up. The licence is MIT.
9 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit c910523. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
ghglabgitFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use gh, glab and git, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Meticulous Review loads about 2.3k tokens when it runs. Until then it costs about 120 tokens; SKILL.md has 969 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from FlintSH/Flare at commit c910523, republished under its MIT licence (© FlintSH). 969 words, ~2,300 tokens.
.claude/skills/meticulous-review/SKILL.md (or your agent's skills folder).To review a Meticulous test run, follow the workflow below step by step, using the CLI or MCP commands as described.
Before starting, run the
meticulous-cli-updateskill to ensure the Meticulous CLI and skills are up to date — unless it has already run earlier in this conversation, in which case skip it.
This skill treats you as a reviewer, not the implementer — even if you did write the change earlier in this conversation. Its job is to catch regressions, not to iterate on the implementation (if you're mid-implementation and want to loop against Meticulous until things look right, see the meticulous-iterative-dev skill for feature work with intended visual changes, or the meticulous-zero-diff-task skill when the UI must not change; if diffs have already been reviewed and rejected and you're just here to fix what's flagged, see the meticulous-fix skill).
Before looking at any diff, work out what visual change this PR is supposed to produce:
gh pr view <number> --json title,body for GitHub, glab mr view <id> --output json --jq '{title,description}' for GitLab, or GET /2.0/repositories/{workspace}/{repo_slug}/pullrequests/{id}?fields=title,description for Bitbucket) and pull out a brief bullet-point summary of any visual changes it calls out as expected.Run from the local checkout to resolve the test run from the current commit's git HEAD — make sure HEAD matches the remote head CI ran on first (e.g. git pull), or you may review a stale or missing run:
# CLI (infers the run from local git HEAD)
meticulous agent test-run-diffs
# MCP (git context is never inferred — resolve the testRunId from a commit first)
get_test_run_for_commit(commitSha="<sha>")
get_test_run_diffs(testRunId="<id>")Returns a TSV of replayDiffId/screenshotName rows — a representative, priority-ordered subset of real visual differences; work through them top to bottom. To target a run explicitly instead of resolving from HEAD, pass --testRunId <id> or --commitSha <sha>. The CLI blocks until the run finishes by default (pass --dontWaitForTestRunToComplete to instead report an in-progress run and exit immediately); MCP never blocks, so keep polling until status is complete/failed.
Every returned row must be matched against Step 0 or flagged (see the Decision guide) before concluding the PR is good.
For each representative screenshot:
# CLI (downloads images to ~/.meticulous/agent-images/ and prints local paths)
meticulous agent image-files --replayDiffId <replayDiffId> --screenshotName <screenshotName>
# MCP (no download-to-disk tool — returns signed URLs instead; fetch them to view the images)
get_image_urls(replayDiffId="<replayDiffId>", screenshotName="<screenshotName>")Open (or fetch) before, after, and diffImage to inspect the change — diffImage is usually the most informative, highlighting exactly which pixels changed. Always inspect the images, even when the DOM diff looks clear.
# CLI
meticulous agent dom-diff --replayDiffId <replayDiffId> --screenshotName <screenshotName>
# MCP
get_dom_diff(replayDiffId="<replayDiffId>", screenshotName="<screenshotName>")Optional: --context <N|full> (CLI) controls how many context lines surround each hunk (default 3).
Output is a unified diff (+/-, indentation stripped), one [diff N]-headed block per independent change — for example (illustrative, not real output):
[diff 0]
<div class="item">
- <span class="label">old label</span>
+ <span class="label" data-flag="true">new label</span>
</div>
[diff 1]
<ul class="list">
+ <li>new item</li>
</ul>If a diff is unexpected and the images/DOM don't make it obvious why:
# CLI
meticulous agent timeline-diff --replayDiffId <replayDiffId>
# MCP
get_timeline_diff(replayDiffId="<replayDiffId>")TSV columns: diff ( identical, - removed, + added, ! changed), timeMs, event (user/screenshot/network/console/etc.), description. Look for failed network requests, unexpected redirects, or timing anomalies that could explain a visual change.
For each representative screenshot, compare the diff image and DOM diff against Step 0's expectations:
Either way it's flagged, not silently dropped — a human still needs to see it.
This skill reviews and flags — it does not fix. Hand a rejected diff off to the meticulous-fix skill (or the person/skill implementing the change) — don't attempt code changes here.
# CLI
meticulous agent reject-diff --replayDiffId=<id> --screenshotName=<name> --reason="<why>" --x=<0..1> --y=<0..1>
meticulous agent ignore-diff --replayDiffId=<id> --screenshotName=<name> --reason="<why>" --x=<0..1> --y=<0..1>
meticulous agent create-diff-comment --replayDiffId=<id> --screenshotName=<name> --text="<note>" --x=<0..1> --y=<0..1>
# MCP
reject_diff(replayDiffId="<id>", screenshotName="<name>", reason="<why>", x=<0..1>, y=<0..1>)
ignore_diff(replayDiffId="<id>", screenshotName="<name>", reason="<why>", x=<0..1>, y=<0..1>)
create_diff_comment(replayDiffId="<id>", screenshotName="<name>", text="<note>", x=<0..1>, y=<0..1>)Call reject-diff or ignore-diff for every diff classified as unintended, in addition to including it in the final report. --reason is the succinct explanation from your classification above; --x/--y are the approximate normalized coordinates of the changed region, estimated from the diff image. create-diff-comment is the neutral option for anything you want on the record without a verdict.
Not symmetric: reject-diff writes a real, blocking decision, same as a human rejection. ignore-diff decides nothing — it's a comment only, so the diff stays unreviewed and the check stays pending either way. Only a human can clear a diff, so don't oversell an ignore-diff call in your final report as having resolved anything.
Cover all significant visual changes.
replayDiffId/screenshotName (linked: https://app.meticulous.ai/test-runs/<testRunId>/replay-diff/<replayDiffId>?screenshot=<screenshotName>), whether you rejected or ignored it, the reason you gave when flagging it (Step 6), what the change looks like, and your best assessment of the cause.The PR is only good when every diff has been matched or flagged. If any diff is flagged, the PR is not yet good: surface it clearly to the user in addition to the flag itself.
Always do this as the last step — it's part of the review itself, not something the user has to ask for. Submit one brief note: did Meticulous catch a real problem, was anything confusing, what would have made the review easier. Positive feedback counts too — this isn't just for reporting friction.
# CLI
meticulous agent submit-feedback --message="<one or two sentences>" --outcome=<helped|neutral|hindered> --testRunId=<id> --skill=meticulous-review
# MCP
submit_feedback(message="<one or two sentences>", outcome="<helped|neutral|hindered>", testRunId="<id>", skill="meticulous-review")© FlintSH, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .agents/skills/meticulous-review of FlintSH/Flare.
Open the folder on GitHubat commit c910523
Meticulous Review next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Meticulous Review this skillFlintSH/Flare | 135 | — | ~2.3k | Automated safety check: Pass | MIT | |
| Finishing a Development Branchobra/superpowers | 297k | 5 repos | ~1.9k | Automated safety check: Pass | MIT | |
| PR Babysitteropeninterpreter/openinterpreter | 69k | 3 repos | ~4.2k | Automated safety check: Pass | Apache-2.0 | |
| Check PRonyx-dot-app/onyx | 32k | 2 repos | ~2.3k | Automated safety check: Pass | MIT | |
| PR Design DocOpenHands/OpenHands | 91k | — | ~2.4k | Automated safety check: Pass | MIT | |
| WooCommerce Code Reviewwoocommerce/woocommerce | 11k | 3 repos | ~1.1k | Automated safety check: Pass | Custom licence |
obra/superpowers
Walks the last step of a branch: confirm tests pass, detect the git environment, ask how to integrate, carry out your choice and clean up the worktree.
openinterpreter/openinterpreter
Watches an open GitHub pull request until it merges, handling review comments, diagnosing CI failures and retrying flaky checks along the way.
onyx-dot-app/onyx
Checks a GitHub, GitLab, or Perforce (p4) pull request (or merge request, or shelved changelist) for unresolved review comments, failing status checks, and incomplete PR descriptions.
OpenHands/OpenHands
For a non-trivial pull request, write a self-contained HTML design doc under the temporary .pr/ directory and link a visibility-appropriate preview in the PR description, so maintainers grasp the…
woocommerce/woocommerce
Reviews WooCommerce code changes against the project's standards, flagging backend PHP architecture, naming, documentation, data integrity and testing violations.
payloadcms/payload
A skill your agent uses when a Payload pull request needs a concise visual walkthrough for reviewers.
FlintSH/Flare
Overview of the Meticulous CLI tool and its global options. An agent skill from FlintSH/Flare.
FlintSH/Flare
Fix the visual diffs that have been reviewed and rejected on a Meticulous test run, following their review comments if given.
FlintSH/Flare
Increase coverage for a Meticulous project by tracing specific under-covered files back to a real UI action in the codebase, driving that action with a real recorded browser session, and validating…
FlintSH/Flare
Iterative frontend development loop using Meticulous for per-step visual validation.
FlintSH/Flare
Run a Meticulous session simulation against a live URL and analyze the visual output — either by inspecting screenshots directly (quick-check mode) or by comparing pixel and HTML diffs against a…
FlintSH/Flare
Run a Meticulous test run after implementing a frontend change, then hand off to the meticulous-review skill to classify each visual change as intended or unintended.
Categories
Analyze a completed Meticulous test run — compare the diffs against the PR description to see what's expected, then focus on finding and flagging potential regressions. Meticulous Review is an agent skill from FlintSH/Flare. Analyze a completed Meticulous test run — compare the diffs against the PR description to see what's expected, then focus on finding and flagging potential regressions.
Meticulous Review fits situations like: asked to review Meticulous test results; babysitting a pull/merge requests Meticulous Tests CI check; right after implementing a frontend change yourself.
Run `npx skills add FlintSH/Flare --skill meticulous-review -a claude-code`. Or copy the skill folder (.agents/skills/meticulous-review in FlintSH/Flare) into .claude/skills/meticulous-review in your project. Claude Code loads it when a task matches its description.
Run `npx skills add FlintSH/Flare --skill meticulous-review -a codex`. Or copy the skill folder (.agents/skills/meticulous-review in FlintSH/Flare) into .agents/skills/meticulous-review in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add FlintSH/Flare --skill meticulous-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/meticulous-review, .gemini/skills/meticulous-review, .github/skills/meticulous-review and .opencode/skills/meticulous-review in your project.
Going by SKILL.md and its folder, Meticulous Review needs the command-line tools its instructions call (gh, glab and git).
SKILL.md contains no URLs. Its commands use gh and git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Meticulous Review is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.3k tokens (SKILL.md is roughly 9.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Meticulous Review: Finishing a Development Branch (obra/superpowers, 297k stars), PR Babysitter (openinterpreter/openinterpreter, 69k stars), Check PR (onyx-dot-app/onyx, 32k stars) and PR Design Doc (OpenHands/OpenHands, 91k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
FlintSH (a GitHub user) maintains it in FlintSH/Flare, which has 135 GitHub stars. The repository holds 10 skills in this directory. The repository was last updated on October 6, 2026.
Source: FlintSH/Flare on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.